Accelerating multi-scale image fusion algorithms using CUDA

Seung H. Yoo, Jin Hyung Park, Chang-Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.

Original languageEnglish
Title of host publicationSoCPaR 2009 - Soft Computing and Pattern Recognition
Pages278-282
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
EventInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia
Duration: 2009 Dec 42009 Dec 7

Other

OtherInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
CountryMalaysia
CityMalacca
Period09/12/409/12/7

Fingerprint

Image fusion
Data storage equipment
Software architecture
Program processors
Bandwidth
Graphics processing unit

Keywords

  • CUDA
  • GPU
  • Image fusion
  • Pyramid
  • Wavelet

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Yoo, S. H., Park, J. H., & Jeong, C-S. (2009). Accelerating multi-scale image fusion algorithms using CUDA. In SoCPaR 2009 - Soft Computing and Pattern Recognition (pp. 278-282). [5370356] https://doi.org/10.1109/SoCPaR.2009.63

Accelerating multi-scale image fusion algorithms using CUDA. / Yoo, Seung H.; Park, Jin Hyung; Jeong, Chang-Sung.

SoCPaR 2009 - Soft Computing and Pattern Recognition. 2009. p. 278-282 5370356.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yoo, SH, Park, JH & Jeong, C-S 2009, Accelerating multi-scale image fusion algorithms using CUDA. in SoCPaR 2009 - Soft Computing and Pattern Recognition., 5370356, pp. 278-282, International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009, Malacca, Malaysia, 09/12/4. https://doi.org/10.1109/SoCPaR.2009.63
Yoo SH, Park JH, Jeong C-S. Accelerating multi-scale image fusion algorithms using CUDA. In SoCPaR 2009 - Soft Computing and Pattern Recognition. 2009. p. 278-282. 5370356 https://doi.org/10.1109/SoCPaR.2009.63
Yoo, Seung H. ; Park, Jin Hyung ; Jeong, Chang-Sung. / Accelerating multi-scale image fusion algorithms using CUDA. SoCPaR 2009 - Soft Computing and Pattern Recognition. 2009. pp. 278-282
@inproceedings{51b9fdd1ff9f4406b0c66ee54aeb3cb8,
title = "Accelerating multi-scale image fusion algorithms using CUDA",
abstract = "Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.",
keywords = "CUDA, GPU, Image fusion, Pyramid, Wavelet",
author = "Yoo, {Seung H.} and Park, {Jin Hyung} and Chang-Sung Jeong",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/SoCPaR.2009.63",
language = "English",
isbn = "9780769538792",
pages = "278--282",
booktitle = "SoCPaR 2009 - Soft Computing and Pattern Recognition",

}

TY - GEN

T1 - Accelerating multi-scale image fusion algorithms using CUDA

AU - Yoo, Seung H.

AU - Park, Jin Hyung

AU - Jeong, Chang-Sung

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.

AB - Recently, fusion speed has emerged as an important factor in the image fusion and a substantial amount of memory and computing power are required for a high-speed fusion. This paper shows approaches to accelerate multi-scale image fusion speed on GPU (Graphics Processing Unit) using CUDA (Compute Unified Device Architecture). The GPU has evolved into a very powerful and flexible streaming processor, which provides a good computational power and memory bandwidth. We implement the multi-scale image fusion algorithms using CUDA software platform of the latest version of GPU and theirs fusion speeds are compared and evaluated with implementation in Core2 Quad processor with 2.4GHz. The GPU version achieved a speedup of 6x-8x over the CPU version.

KW - CUDA

KW - GPU

KW - Image fusion

KW - Pyramid

KW - Wavelet

UR - http://www.scopus.com/inward/record.url?scp=77649334200&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77649334200&partnerID=8YFLogxK

U2 - 10.1109/SoCPaR.2009.63

DO - 10.1109/SoCPaR.2009.63

M3 - Conference contribution

SN - 9780769538792

SP - 278

EP - 282

BT - SoCPaR 2009 - Soft Computing and Pattern Recognition

ER -